Quality Assurance is a crucial component of successful Information Management initiatives. Based on years of experience in the field, Adastra has developed a streamlined methodology, QA.360™, which governs test strategy, test case definition, acceptance criteria, and documentation for every phase of the development lifecycle. Adastra consultants have extensive experience in implementing QA processes that have reduced costs and yielded quality systems.
QA spans the whole duration of every project we deliver, analysing the output of all phases and matching them to the business requirements (e.g.: data modeling). Alternatively, it can be approached as a standalone project to verify and qualify the success of a solution built in-house or by a third party.
What makes Adastra QA stand out?
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Commitment to ongoing quality improvement
- Ongoing defect tracking and root cause analysis processes prevent future similar defects
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Data Quality is integral to the processes.
- Understanding and managing Data Quality is at the core of what we do. Adastra QA processes effectively leverage data profiling results and data quality discussions to supplement test cases and testing
Types of Testing Include :
- Functional testing
- Integration testing
- Regression testing
- System Integration testing
- Smoke testing
- Load testing
- Performance testing
- User Acceptance Testing (UAT)
- Black box testing
- White box testing
- Test Strategy
- Test Plan
- Test Cases
- Defect tracking
- Root cause analysis
- Acceptance letter
